Health Data Scientist

3 weeks ago

Durham, United States GAP Solutions, Inc. Full time

Position Objective: Provide services as a Health Data Scientist in support of the overall functions of the National Institute of Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH). The NIEHS is seeking an individual who can develop, test, and execute software and data pipelines to process, transform, integrate, and analyze climate and health related data sets. This work will involve working with different data formats and standards, linking data sets that have different spatial and temporal dimensions, and working with data sets that may be large and complex. The individual will work closely with experts in data science, geospatial methods, statistics, and biomedical research who will help guide and inform the work.




Duties and Responsibilities:

  • Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
  • Work with staff to develop, test and refine novel programming methods, toolkits, and algorithms.
  • Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data.
  • Provide technical experience reviewing, analyzing, and modifying existing programming systems.
  • Conceive of and conduct approaches to process, integrate, and analyze geospatial-based exposures data sets and health data sets.
  • Develop scientific applications using R, Shiny and/or Python.
  • Collaborate with staff to develop, test, refine and apply advanced statistical and computational methods. Test and maintain software products to ensure strong functionality and optimization.
  • Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects.
  • Prepare roadmaps, schedules, status reports, plans and recommendations.
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab’s software and research.
  • Prepare roadmaps, schedules, status reports, plans and recommendations. 1
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab’s software and research. 2
  • Manage and troubleshoot deployments and image builds. Develop new code and refine/troubleshoot existing code.
  • Troubleshoot scripts and programs to ensure successful use of said scripts and programs. Document in-house software for training and reference purposes.
  • Provide support for development of methods in data science.
  • Work with staff on literature reviews of analytic methods that have been applied across a broad range of scientific fields in order to identify the most useful methods to be applied.
  • Develop new code and refine/troubleshoot existing code. Document in-house software for training and reference purposes.
  • Work with staff on applying, extending and/or developing statistical methods to address problems identified by the staff of relevance to the project. 5
  • Implement improvements to development activities to speed development of applications, databases, or software tools. 4
  • Work with staff on data retrieval from various data sources. 3




Basic Qualifications:

  • Bachelor’s degree in biology, computer science, statistics and decision science, or a related discipline.
  • Skilled in R, Python, Linux, Shiny, and HTML.
  • Experienced in scientific data analysis, data visualization, data processing, data integration, and machine learning.




Minimum Qualifications:

  • Ability to multi-task and pay close attention to detail.
  • Excellent analytical, organizational and time management skills.
  • Strong communication skills, both oral and written.

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